Sentiment Based Product Recommendation System for E-Commerce Using Machine Learning Approaches
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2022, Vol 10, Issue 6
Abstract
Today, e-commerce is a thriving industry. We do not need to approach every customer to accept their orders here. A business creates a website to offer things to clients, who can then purchase the stuff they need within the same website. These e-commerce firms include well-known ones like Amazon, Shopify, Myntra, Flipkart, and Ajio. To create a product recommendation system for the end customers, we will be using the data set of e-commerce product reviews in this final project. A sentiment analysis model will be used to enhance the suggestions. Under this final project, we will develop a sentiment analysis engine utilising a variety of machine learning approaches before selecting the model that produces the best results.
Authors and Affiliations
Muzakkiruddin Ahmed Mohammed
Keywords
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- EP ID EP746020
- DOI 10.55524/ijircst.2022.10.6.20
- Views 33
- Downloads 0
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